# An integrated dataset of near-surface Eulerian fields and Lagrangian trajectories from an ocean model

## TL;DR

This paper introduces a dataset combining ocean model simulations from both Eulerian and Lagrangian perspectives for better observational analysis.

## Contribution

The novelty is the integration of Eulerian and Lagrangian data into a single accessible dataset for oceanographic research.

## Key findings

- The Eulerian dataset includes hourly velocity and sea surface height data at 0 m and 15 m depths for one year.
- Lagrangian trajectories were computed for 60 days at two depths, with 11 releases spaced 30 days apart.
- The dataset is available as cloud-optimized archives for unrestricted access.

## Abstract

A dataset consisting of numerically simulated oceanic velocities and sea surface height changes, provided conjointly from Eulerian and Lagrangian points of view, is made available as cloud-optimized archives on a cloud storage platform for unrestricted access. The Eulerian component of the dataset comprises oceanic velocity components at 0 m and 15 m depth, as well as total and steric sea surface height changes, obtained at hourly time steps for one year, with an approximate horizontal resolution of 1/25 degree on an irregular global geographical spatial grid, from the HYbrid Coordinate Ocean Model. The Lagrangian component of the dataset comprises the trajectories of particles advected in the Eulerian velocity field of the model. The particles were advected forward and backward for 30 days from a regular 1/4 degree grid in order to achieve 60-day long trajectories at 0 m and 15 m depths, with start times separated by 30 days, in 11 releases. This integrated dataset may help to link Eulerian and Lagrangian observational perspectives.